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作 者:马世乾 崇志强[1] 何富林 郝君 张俊 宫晓燕 MA Shiqian;CHONG Zhiqiang;HE Fulin;HAO Jun;ZHANG Jun;GONG Xiaoyan(Electric Power Research Institute,State Grid Tianjin Electric Power Company,Tianjin 300384,China;Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Tianjin 300072,China;School of Electronic Information and Communications,Huazhong University of Science and Technology,Wu?han 430074,China;Qingdao Academy of Intelligent Industries,Qingdao 266111,China;State Key Labo?ratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China)
机构地区:[1]国网天津市电力公司电力科学研究院,天津300384 [2]天津大学智能电网教育部重点实验室,天津300072 [3]华中科技大学电子信息与通信学院,武汉430074 [4]青岛智能产业技术研究院,青岛266111 [5]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190
出 处:《电力系统及其自动化学报》2019年第8期59-65,85,共8页Proceedings of the CSU-EPSA
基 金:基于人工智能的调控操作决策辅助分析技术研究及示范应用(SGTJDK00DWJS1700060)
摘 要:为了研究和模拟能源系统与社会系统之间的交互,提出了基于博弈论的复杂社会技术系统CSTS(compos ite socio-technical systems),从而建立两个不同系统之间的联系。首先通过对美国丹佛大学校园电网各楼宇的用电行为进行数学建模,为了得到博弈最佳校园用电量,策略迭代P(Ipolicy iteration)算法被用来提高综合能源系统中的整体社会福利。分布式虚拟迭代DFI(distributed fictitious iterative)算法可以确定校园电网内57栋楼的最佳温度设定和对应的耗电量。结果表明社会系统与技术系统之间存在着相互作用,相互引导的关系。数值实验从节能和减少用电成本等方面验证了所提出方法在美国丹佛大学校园电网的可行性。To study and simulate the interactions between energy and social systems,a method is proposed for the com posite social-technical systems(CSTS)based on game theory,thus incorporating these two systems.A case study on University of Denver(DU)campus grid is presented in this paper,in which the mathematical modelling of power con sumptions by various campus buildings is performed.To obtain the optimal power consumptions in the campus,a policy iteration(PI)algorithm is introduced to promote the overall social welfare in CSTS.In addition,a distributed fictitious iterative(DFI)algorithm is introduced to determine the optimal indoor temperature settings of 57 campus buildings as well as the corresponding power consumptions.Results indicate the interactions and mutual guidance between the social and technical systems.Numerical results verify the feasibility of applications of the proposed method in DU campus grid from aspects such as energy saving and reduction in electricity cost.
关 键 词:复杂社会技术系统 博弈 分布式节点电价 策略迭代 分布式虚拟迭代算法
分 类 号:TK018[动力工程及工程热物理]
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